Abstract: Aspects of the disclosure are directed to controlling machine translation length based on length tokens. The length tokens are included in the machine translation source text and target text during training and also included in the machine translation source text during inference. An output is generated from a machine learning model constrained by length if the output from a machine learning model unconstrained by length outputs a translation exceeding a length limit.

Abstract: This disclosure provides for engineered T cell Receptors (TCRs), cells comprising the TCRs, and methods of making and using TCRs. The current disclosure relates to TCRs that specifically recognize cancer antigens. Also provided are compositions comprising the cells, nucleic acids, or engineered TCRs of the disclosure, methods of making the cells, and methods of using the embodiments of the disclosure for therapeutic treatments.

Abstract: Disclosed herein are improved methods to assay and quantify enzymatic activity of remodeling enzymes and identifying modulators of remodeling enzyme activity. Methods for performing a nucleosome remodeling assay can comprise steps of contacting a recombinant nucleosome substrate with a remodeling enzyme; binding the recombinant nucleosome substrate to a solid support; contacting the recombinant nucleosome substrate with a cleaving enzyme that recognizes a cleaving enzyme site of the recombinant nucleosome; activating the cleaving enzyme to cleave an exposed cleaving enzyme site on the recombinant nucleosome substrate to produce a cleaved nucleosome fragment; separating the cleaved nucleosome fragment from the solid support; and quantifying an amount of DNA associated with the cleaved nucleosome fragment, wherein the amount of DNA is associated with the nucleosome remodeling activity and/or detecting histones in the cleaved nucleosome fragment.

Abstract: A text from a predetermined domain is taken and converted to canonical named entities based on an established taxonomy. Using a shared machine learning encoder model, contextual embeddings for these named entities are produced. These embeddings are then fed into a domain-specific scoring model related to the text's domain. This model ranks the embeddings based on relevance. The derived relevance scores, along with the entities, are sent to another system for further tasks. For instance, a recommendation system might use these scores to suggest relevant named entities.

Abstract: A system and method for accessing drilling records. A semantic web for drilling records is built, wherein building includes converting drilling records retrieved from a database into a Resource Description Framework (RDF) format and storing the RDF formatted drilling records in the semantic web. Transfer learning is applied to drilling domain knowledge to obtain a large language model (LLM) with drilling domain knowledge. A schema is applied to unstructured records to extract information from unstructured records and the extracted information is then stored in RDF format to the semantic web. The LLM is configured to query the semantic web and to manipulate RDF formatted data within the semantic web.

Abstract: A paclitaxel prodrug, includes a disulfide bond, a PEG molecular chain, and a RGD peptide chain in the structure. The paclitaxel prodrug can self-assemble into micelles in an aqueous environment, with good in vitro stability. The introduced disulfide bond is conducive to the specific bond-breaking of the prodrug at the tumor sites, that can cause the disintegration of the prodrug micelles, damage the micelle morphology, and thus exhibit good sustained-release effects.

Abstract: A method for evaluating the mechanical state of a high-voltage shunt reactor based on vibration characteristics is disclosed, relating to the technical field of electrical equipment fault diagnosis. The method includes: based on historical state data and real-time vibration and noise signal data of the high-voltage shunt reactor and through an LSTM neural network time series prediction method, comparing deviation between predicted characteristic value and actual characteristic value, and determining whether the high-voltage shunt reactor has mechanical defects or failures. By using the historical state data and the real-time vibration and noise signal data of the high-voltage shunt reactor, an LSTM neural network time series prediction method, as well as comparison of the deviation between the predicted characteristic value and the actual characteristic value, etc., the evaluation of the mechanical state of the high-voltage shunt reactor is realized.

Abstract: The present invention discloses a fusion cage. The fusion cage includes a first end surface and a second end surface. The first end surface is provided with a first lattice, and at least one region of the second end surface is provided with a second lattice. The first lattice provides a pathway for attaching and supporting human tissue, facilitating inward bone ingrowth for the fusion cage. The structure of the second lattice is designed to decrease the overall elastic modulus of the product and provide a region for bone ingrowth. Different lattice layouts, with the first lattice facilitating inward bone ingrowth and the second lattice reducing bone elastic modulus, address the issue in existing fusion devices of not meeting both bone elastic modulus matching and human tissue growth simultaneously.

Abstract: The present invention provides a fusion cage. The fusion cage includes a first end surface, designed to conform to and support human tissue. The first end surface is provided with a first lattice structure extending into the interior of the fusion cage. The first lattice structure is intended to conform to and support human tissue, providing a pathway for bone ingrowth into the interior of the fusion cage. A second lattice structure is provided within the fusion cage, serving to reduce the overall product's elastic modulus and provide space for bone ingrowth. The primary purpose of the first lattice structure is to offer a space for the growth of human tissue, and the combined action of both lattice structures at two locations helps address the technical challenge of prior art being unable to simultaneously meet the matching bone elastic modulus and aid in the growth of human tissue.

Abstract: One disclosed method involves accessing, by a computing system and using access credentials associated with a user, data associated with systems of record, generating, by the computing system, a plurality of notifications of events indicated by the data, determining, by the computing system, that the user selected at least one keyword, determining, by the computing system, that a first notification of the plurality of notifications relates to the at least one keyword, and causing, by the computing system and based at least in part on the first notification relating to the at least one keyword, a client device operated by the user to present the first notification.

Abstract: Disclosed is a three-phase interleaved resonant converter, which includes a three-phase inversion circuit connected to an input voltage and including a first output node, a second output node, and a third output node, a three-phase transformer including three transformers, a three-phase resonant circuit including three resonant capacitors and three resonant inductors, and a three-phase rectifier filter circuit. One ends of the three resonant inductors are respectively connected to the first output node, the second output node and the third output node, and the other ends of the three resonant inductors are respectively connected to a triangular configuration formed by an alternate connection of the three resonant capacitors with primary windings of the three transformers.

Abstract: A compact silicon waveguide mode converter, a dielectric meta-surface structure based on periodical oblique subwavelength perturbations, including a top silicon structure with oblique subwavelength perturbations etched in certain periods with period length of ?, a duty cycle and an oblique angle ? on the SOI substrate. The invention adopts an all-dielectric meta-surface structure with oblique subwavelength perturbation, which can achieve a compact mode conversion from fundamental mode to arbitrary high-order mode of silicon waveguide, and can improve the optical communication capacity greatly.

Abstract: An intervertebral fusion cage (1). The intervertebral fusion cage (1) is provided with a filler hole (11), which runs through both ends of the intervertebral fusion cage (1), and a plurality of pore areas (14) with spacings are provided on a side face of the intervertebral fusion cage (1). By means of a reasonable arrangement of the pore areas (14), a spacing is provided between the adjacent pore areas (14) so as to ensure that the intervertebral fusion cage (1) has a sufficient strength while having a predetermined elastic modulus, thereby preventing the intervertebral fusion cage (1) from being cracked or even broken when being subjected to an external force, which facilities solution of a technical problem of an insufficient strength of an intervertebral fusion cage (1) due to pore structures in the prior art.

Abstract: The present disclosure relates to the field of early warning for geological disasters, and discloses an early warning method for icefall-caused moraine lake outburst disasters, which aims at solving the problems of low early warning precision and difficulty in implementation in an early warning solution of the prior art. The method includes: S1, calculating topographic parameters of moraine lakes and upstream glaciers thereof, and filtering a moraine lake to undertake focal monitoring; S2, calculating a freezing-thawing cycle index and a regional accumulated temperature index of an upstream glacier region for the moraine lake to undertake focal monitoring, S3, calculating a catastrophic climate determination factor TG-year, wherein if the catastrophic climate determination factor TG-year satisfies a corresponding catastrophic climate determination condition, an early warning condition is satisfied, otherwise the early warning condition is not satisfied; and S4, implementing early warning.

Abstract: A compact silicon waveguide mode converter, a dielectric meta-surface structure based on periodical oblique subwavelength perturbations, including a top silicon structure with oblique subwavelength perturbations etched in certain periods with period length of ?, a duty cycle and an oblique angle ? on the SOI substrate. The invention adopts an all-dielectric meta-surface structure with oblique subwavelength perturbation, which can achieve a compact mode conversion from fundamental mode to arbitrary high-order mode of silicon waveguide, and can improve the optical communication capacity greatly.

Abstract: Disclosed is a three-phase interleaved resonant converter, which includes a three-phase inversion circuit connected to an input voltage and including a first output node, a second output node, and a third output node, a three-phase transformer including three transformers, a three-phase resonant circuit including three resonant capacitors and three resonant inductors, and a three-phase rectifier filter circuit. One ends of the three resonant inductors are respectively connected to the first output node, the second output node and the third output node, and the other ends of the three resonant inductors are respectively connected to a triangular configuration formed by an alternate connection of the three resonant capacitors with primary windings of the three transformers.

Abstract: One disclosed method involves accessing, by a computing system and using access credentials associated with a user, data associated with systems of record, generating, by the computing system, a plurality of notifications of events indicated by the data, determining, by the computing system, that the user selected at least one keyword, determining, by the computing system, that a first notification of the plurality of notifications relates to the at least one keyword, and causing, by the computing system and based at least in part on the first notification relating to the at least one keyword, a client device operated by the user to present the first notification.

Abstract: Disclosed herein are system, computer-readable storage medium, and method embodiments of automatic ontology generation by embedding representations. A system including at least one processor may be configured to receive a vectorized feature set derived from an embedding and including first and second features, and provide the vectorized feature set to a fuser set including first and second fusers. The system may be configured to generate a representation from the fuser set based on the first and second features, and derive tasks based on the representation, assigning to the tasks respective qualifier sets including a weight value, a loss function, and a feedforward function. The system may be configured to compute respective weighted losses for the tasks, based on the respective qualifier sets, and output a data model based on backpropagating the respective weighted losses through the fuser set, the vectorized feature set, the embedding, or a combination thereof.

Abstract: A computing system may include a plurality of first client devices associated with customers, a plurality of second client devices associated with support agents, and server configured to communicate with the first and second client devices. The server may establish support sessions between the first client devices and the second client devices via a communications network based upon customer support requests from the first client devices, collect customer feedback data on the support agents from the first client devices responsive to the support sessions, collect support agent feedback data on the customers from the second client devices responsive to the support sessions, rank the support agents based upon the customer feedback, rank the customers based upon the support agent feedback, and assign the support agents to customers as customer requests are received based upon the rankings of available support agents and the rankings of the customers making the customer requests.

Abstract: A method for evaluating the mechanical state of a high-voltage shunt reactor based on vibration characteristics is disclosed, relating to the technical field of electrical equipment fault diagnosis. The method includes: based on historical state data and real-time vibration and noise signal data of the high-voltage shunt reactor and through an LSTM neural network time series prediction method, comparing deviation between predicted characteristic value and actual characteristic value, and determining whether the high-voltage shunt reactor has mechanical defects or failures. By using the historical state data and the real-time vibration and noise signal data of the high-voltage shunt reactor, an LSTM neural network time series prediction method, as well as comparison of the deviation between the predicted characteristic value and the actual characteristic value, etc., the evaluation of the mechanical state of the high-voltage shunt reactor is realized.